Computational auditory scene analysis

Computational auditory scene analysis (CASA) is a field of study that is motivated by the human auditory system and focuses on recognizing and analyzing sound sources in a given environment. It involves the use of computational methods and techniques to identify and distinguish between different sounds, including musical instruments and other sources of sound. CASA is an important area of research in fields such as audio signal processing, machine learning, and artificial intelligence.From: Improving time–frequency sparsity for enhanced audio source separation in degenerate unmixing estimation technique algorithm [2022], Emerging Trends in Engineering, Science and Technology for Society, Energy and Environment [2019]

Introduction

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Published in Philipos C. Loizou, Speech Enhancement, 2013

Philipos C. Loizou

The aforementioned algorithms have been shown to improve speech quality and reduce listener fatigue, but failed in as far improving speech intelligibility. Recently, a new class of algorithms based on the time-frequency binary mask has been explored and evaluated for noise reduction applications (the binary mask algorithms were originally developed for computational auditory scene analysis and automatic speech recognition applications). The binary mask algorithms are the only algorithms that have been proven to improve speech intelligibility, and constitute the fourth class of algorithms described in this book.

Improving time–frequency sparsity for enhanced audio source separation in degenerate unmixing estimation technique algorithm

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Published in Journal of Control and Decision, 2022

Shahin M. Abdulla, J. Jayakumari

There are numerous approaches to BSS solution, each based on some generic assumption and conditions. These include methods with a high statistical basis such as Principal Component Analysis (PCA) (Pearson, 1901), Independent Component Analysis (ICA) (Hyvärinen & Oja, 2000), Non-negative Matrix Factorisation (NMF) (Lee & Seung, 1999), Sparse Component Analysis(SCA) (Georgiev et al., 2005). etc., to those motivated by the human auditory system such as Computational Auditory Scene Analysis (CASA) (Wang & Brown, 2006).

Computational auditory scene analysis

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Introduction

Improving time–frequency sparsity for enhanced audio source separation in degenerate unmixing estimation technique algorithm